Improved Military Air Traffic Controller Selection Methods as Measured by Subsequent Training Performance

Carretta, Thomas R.; King, Raymond E.

doi:10.3357/asem.2166.2008

Cited by 12 publications

(7 citation statements)

References 4 publications

(4 reference statements)

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“…any single feature in assessment of complex human behavioural performance is a relatively weak predictor, what underscores the need to carefully combine multimodal features in the ATC selection process. Therefore, the need to combine different multimodal features is logical step forward in enhancement of ATC selection protocols, in order to minimise relatively high attrition rates during the training period before full ATC qualification, which can reach and exceed 30% in both civilian and military settings [3], [90], [91]. Proposed multimodal and multidimensional ATC performance space and its extensions with the most pertinent bio-neuro-psycho-social features should be an important step forward to comprehensive multidisciplinary selection process, which has to take into account discriminative power of each feature and its cost.…”

Section: Discussionmentioning

confidence: 99%

New Tools and Methods in Selection of Air Traffic Controllers Based on Multimodal Psychophysiological Measurements

et al. 2019

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Comprehensive multimodal psychophysiological measurements and smart data analysis based on wearable and low-cost technologies could enhance traditional air traffic controller (ATC) selection process. Many recent studies in neuro-cognitive science and stress resilience illustrated effectiveness of these multimodal measurements and appropriate metrics in comprehensive assessment of ATCs' mental states, such as cognitive workload, cognitive decline, attention deficit, fatigue, emotional and behavioural problems, etc. Accordingly, this article is focused on innovation efforts in ATC selection protocols based on a set of comprehensive stimuli and corresponding multimodal psychophysiological measurements. The concept of enhancement of ATC selection process presented in this article includes complex physiological, oculometric and speech measurements and appropriate metrics. From these multimodal measurements during specific stimulation tasks, which include different versions of acoustic startle stimuli, airblasts, semantically relevant aversive images and sounds, different versions of Stroop tests, visual tracking test, a complex set of multimodal-multidimensional features is computed as predictors of ATC candidates' future performance, like: stress resilience, workload capacity, attention, visual performance, working memory etc. Such costeffective, more objective, non-invasive preliminary measurements, lasting no longer than 45 minutes may have good discriminative power and might be used in ATC selection processes as enhancement of current selection procedures. Comprehensive analysis of presented multimodal features during different experimental conditions might also be very useful in selection processes of other stressful professional jobs, like first responders, pilots, astronauts etc.

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Section: Discussionmentioning

confidence: 99%

New Tools and Methods in Selection of Air Traffic Controllers Based on Multimodal Psychophysiological Measurements

et al. 2019

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“…Guided by theoretical empirical findings, this analysis includes 15 independent variables and one dependent variable (Table 2). Variable selection was guided by previous studies examining military factors to academic success and completion of service members in military training programs (Carretta & King, 2008; Dunai & Porter, 2001; Fulton, Starnes, Caouette, Whittaker, & Ivanitskaya, 2008; Grant et al, 2012; Jordon & Curtis, 2010; Meadows, Stanton, Styles, & Finstuen, 2002).…”

Section: Methods and Proceduresmentioning

confidence: 99%

Examining the Effect of Military Service on Education: The Unique Case of Hispanic Veterans

Cancio

2018

Hispanic Journal of Behavioral Sciences

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Every year, over 20,000 Hispanics enlist in the U.S. military. Their military experiences influence their long-term educational outcomes. This exploratory study estimates the effect of military service on education level completed by men up to 15 years after initial enlistment. Findings suggest that technical military jobs, more than nontechnical military jobs, positively influence the educational outcomes of individuals after military service.

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“…In comparing the two verbal subtests, previous research generally suggests that they have relatively comparable levels of predictive validity. For example, the two subtests have been found to perform similarly when predicting outcomes of training test performance and graduation from air traffic controller training (Carretta & King, 2008), mechanical hands-on performance (Carey, 1994), military technical school grade (Abrahams, Pass, Kusulas, Cole, & Kieckhaefer, 1993), and final school grade (DMDC, 2006). Alternatively, Earles and Ree (1992) found that WK is a slightly better predictor of course grades than PC across a variety of job types.…”

Section: Predictive Validitymentioning

confidence: 99%

“…Mirroring the research on the two verbal subtests, it is not clear which of the two math subtests possesses more predictive ability. Carretta and King (2008) found that AR and MK were similarly predictive of air traffic controller training performance and graduation from the training program, and DMDC (2006) found the two subtests to have similar validity when predicting final school grade. Abrahams et al (1993) also found comparable validity coefficients between the two math subtests on average; however, the regression weight was larger for MK than AR when predicting final school grade.…”

Section: Predictive Validitymentioning

confidence: 99%

Assessment of Assembling Objects (AO) for Improving Predictive Performance of the Armed Forces Qualification Test

Anderson¹,

Hoffman²,

Tate³

et al. 2011

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The purpose of this investigation was to examine whether the Assembling Objects test (AO) should be added to the AFQT predictor composite. The investigation included a literature review and analysis of data from Army Classification project. Analyses included regressions with 20 different criteria, subgroup analyses, and bias analyses. Findings suggest that the Army should consider including the AO subtest in the AFQT predictor composite. Adding the AO subtest to the AFQT composite would likely increase the prediction of performance and job knowledge, while potentially decreasing the subgroup predictor differences between Hispanic and white subgroups. Although adding the AO subtest to the AFQT composite may increase the subgroup predictor differences of female and black subgroups relative to their respective majority comparison groups, results suggest that any additional subgroup differences would be borne out in performance differences, and that the revised AFQT composite would thus be fair and unbiased to minority groups. Future research should examine the degree to which these findings differ across job clusters, where cluster members are similar in terms of abilities needed to perform the work.

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Improved Military Air Traffic Controller Selection Methods as Measured by Subsequent Training Performance

Cited by 12 publications

References 4 publications

New Tools and Methods in Selection of Air Traffic Controllers Based on Multimodal Psychophysiological Measurements

New Tools and Methods in Selection of Air Traffic Controllers Based on Multimodal Psychophysiological Measurements

Examining the Effect of Military Service on Education: The Unique Case of Hispanic Veterans

Assessment of Assembling Objects (AO) for Improving Predictive Performance of the Armed Forces Qualification Test

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